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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | de Souza, S.M. da Silva, A.P.A. Lima, A.C.S. |
| Copyright Year | 2007 |
| Abstract | After a severe disturbance due to an insulation failure in a transmission line, the precise fault location is a critical problem for the maintenance crew. In order to avoid further economical and social costs, fault diagnosis has to be performed as soon as possible. Fault diagnosis has been a major area of investigation among power system problems and intelligent system applications. Several approaches have been proposed for solving this problem. This paper advocates the application of neural networks for mapping the relationship between electrical signals and fault locations in transmission lines. The significance of voltages and currents is analysed using steady-state and electromagnetic transient information. Electromagnetic transient information has been extracted using fast fourier and wavelet transforms. Thus, three ways of feeding the fault location models are compared, i.e., with a steady-state input space and with two transient based input spaces, which are built by the previously mentioned transforms. The tests consider different operating and fault conditions, including different types of fault impedances, fault angles, line loading, equivalent system impedances, and fault locations. |
| Starting Page | 737 |
| Ending Page | 742 |
| File Size | 2061789 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424413799 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2007.4371049 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Voltage Fault location Transmission lines Power transmission lines Fault diagnosis Power system transients Steady-state Impedance Insulation Power system economics |
| Content Type | Text |
| Resource Type | Article |
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